Tan-Tan Zhang

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In this work new data, models, and applications are presented of an ultra-low power, microfluidic device for use in integrated bio-microelectrofluidic systems (Bio-MEFS). The metal-insulator-solution transport (MIST) device is based on the high-speed manipulation of discrete droplets of analytes and reagents under voltage control, and is the MOSFET(More)
This paper describes an ultra-low-power filtering technique for biomedical applications designated as T-wave sensing in heart-activities detection systems. The topology is based on a source-follower-based Biquad operating in the sub-threshold region. With the intrinsic advantages of simplicity and high linearity of the source-follower, ultra-low-cutoff(More)
This paper describes a high-dynamic-range 2.4 Hzto-10 kHz wide-range tunable 5-order Butterworth lowpass filter for biomedical applications. A differential gm-C topology in conjunction with a subthreshold-biased wide-gm-range OTA realizes efficiently a wide frequency tuning capability. For capacitance savings with consequent silicon area reduction, a merged(More)
A novel low-power EEG readout front-end featuring a current-mode instrumentation amplifier (CMIA) followed by a 4 th -order gain-compensated source-follower-based lowpass filter (LPF) is proposed. The CMIA is of current-conveyor topology and is chopper-stabilized to improve the common-mode noise rejection and suppress the dc-offset and 1/f noise. The(More)
Most biopotential readout front-ends rely on the g m- C lowpass filter (LPF) for forefront signal conditioning. A small g m realizes a large time constant ( τ = C / g m) suitable for ultra-low-cutoff filtering, saving both power and area. Yet, the noise and linearity can be compromised, given that each g m cell can involve one or several noisy and nonlinear(More)
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